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#!/bin/bash

Copyright 2015 Google Inc. All Rights Reserved.

#

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

#

http://www.apache.org/licenses/LICENSE-2.0

#

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.

==============================================================================

set -e

export CUDA_HOME=${CUDA_HOME:-/usr/local/cuda}

if [ ! -d ${CUDA_HOME}/lib64 ]; then
echo "Failed to locate CUDA libs at ${CUDA_HOME}/lib64."
exit 1
fi

#export CUDA_SO=$(\ls /usr/lib/x86_64-linux-gnu/libcuda. | \
export CUDA_SO=$(\ls /usr/lib64/libcuda.
| \
xargs -I{} echo '-v {}:{}')
export DEVICES=$(\ls /dev/nvidia* | \
xargs -I{} echo '--device {}:{}')

if [[ "${DEVICES}" = "" ]]; then
echo "Failed to locate NVidia device(s). Did you want the non-GPU container?"
exit 1
fi

docker run -it $CUDA_SO $DEVICES "$@"

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hanyunfan

Comments (1)
hanyunfan
a year ago

docker_run_gpu.sh hanyunfan/tensorflow:latest-gpu